{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Alan\Documents\comment paper table 1 soep.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}10 Dec 2014, 20:17:52

{com}. do "C:\Users\Alan\AppData\Local\Temp\STD0w000000.tmp"
{txt}
{com}. 
. **Table 1 SOEP**
. 
. reg lifesat l.lifesat  optimistic2 quitepessimistic2 pessimistic2 lnrealincome married divorced separated widowed selfemp govemployed  apprentice unempstib retired notinlabmkt  vghealth ghealth sathealth hseduc morethanhs age2130 age3140 age4150 age5160 age61plus region* wave_*
{txt}note: notinlabmkt omitted because of collinearity
note: region1 omitted because of collinearity
note: region5 omitted because of collinearity
note: region11 omitted because of collinearity
note: wave_1 omitted because of collinearity
note: wave_2 omitted because of collinearity
note: wave_3 omitted because of collinearity
note: wave_4 omitted because of collinearity
note: wave_5 omitted because of collinearity
note: wave_6 omitted because of collinearity
note: wave_7 omitted because of collinearity
note: wave_8 omitted because of collinearity
note: wave_9 omitted because of collinearity
note: wave_10 omitted because of collinearity
note: wave_11 omitted because of collinearity
note: wave_15 omitted because of collinearity
note: wave_17 omitted because of collinearity
note: wave_18 omitted because of collinearity
note: wave_19 omitted because of collinearity
note: wave_20 omitted because of collinearity
note: wave_21 omitted because of collinearity
note: wave_22 omitted because of collinearity
note: wave_23 omitted because of collinearity
note: wave_24 omitted because of collinearity
note: wave_25 omitted because of collinearity
note: wave_26 omitted because of collinearity
note: wave_27 omitted because of collinearity
note: wave_28 omitted because of collinearity

      Source {c |}       SS       df       MS              Number of obs ={res}   39412
{txt}{hline 13}{char +}{hline 30}           F( 42, 39369) ={res}  639.63
    {txt}   Model {char |} {res} 45729.7813    42  1088.80432           {txt}Prob > F      = {res} 0.0000
    {txt}Residual {char |} {res} 67015.2531 39369  1.70223407           {txt}R-squared     = {res} 0.4056
{txt}{hline 13}{char +}{hline 30}           Adj R-squared = {res} 0.4050
    {txt}   Total {char |} {res} 112745.034 39411  2.86075041           {txt}Root MSE      = {res} 1.3047

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     lifesat{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lifesat {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .4085184{col 26}{space 2} .0042127{col 37}{space 1}   96.97{col 46}{space 3}0.000{col 54}{space 4} .4002615{col 67}{space 3} .4167754
{txt}{space 12} {c |}
{space 1}optimistic2 {c |}{col 14}{res}{space 2} .2957012{col 26}{space 2} .0191996{col 37}{space 1}   15.40{col 46}{space 3}0.000{col 54}{space 4} .2580696{col 67}{space 3} .3333328
{txt}quitepessi~2 {c |}{col 14}{res}{space 2}-.4273765{col 26}{space 2} .0159945{col 37}{space 1}  -26.72{col 46}{space 3}0.000{col 54}{space 4}-.4587261{col 67}{space 3}-.3960268
{txt}pessimistic2 {c |}{col 14}{res}{space 2}-.9389789{col 26}{space 2} .0320964{col 37}{space 1}  -29.25{col 46}{space 3}0.000{col 54}{space 4}-1.001889{col 67}{space 3}-.8760693
{txt}lnrealincome {c |}{col 14}{res}{space 2}  .019041{col 26}{space 2} .0080101{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0033411{col 67}{space 3} .0347409
{txt}{space 5}married {c |}{col 14}{res}{space 2} .1282007{col 26}{space 2} .0198064{col 37}{space 1}    6.47{col 46}{space 3}0.000{col 54}{space 4} .0893796{col 67}{space 3} .1670218
{txt}{space 4}divorced {c |}{col 14}{res}{space 2} .0050053{col 26}{space 2} .0325826{col 37}{space 1}    0.15{col 46}{space 3}0.878{col 54}{space 4}-.0588574{col 67}{space 3}  .068868
{txt}{space 3}separated {c |}{col 14}{res}{space 2}-.2591589{col 26}{space 2} .0553099{col 37}{space 1}   -4.69{col 46}{space 3}0.000{col 54}{space 4}-.3675676{col 67}{space 3}-.1507501
{txt}{space 5}widowed {c |}{col 14}{res}{space 2} .1568236{col 26}{space 2} .0541142{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0507586{col 67}{space 3} .2628887
{txt}{space 5}selfemp {c |}{col 14}{res}{space 2}-.1373224{col 26}{space 2} .0253779{col 37}{space 1}   -5.41{col 46}{space 3}0.000{col 54}{space 4}-.1870637{col 67}{space 3}-.0875811
{txt}{space 1}govemployed {c |}{col 14}{res}{space 2} .0947798{col 26}{space 2} .0325801{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0309221{col 67}{space 3} .1586375
{txt}{space 2}apprentice {c |}{col 14}{res}{space 2}-.0059315{col 26}{space 2} .0425388{col 37}{space 1}   -0.14{col 46}{space 3}0.889{col 54}{space 4}-.0893085{col 67}{space 3} .0774456
{txt}{space 3}unempstib {c |}{col 14}{res}{space 2}-.6518336{col 26}{space 2} .0290211{col 37}{space 1}  -22.46{col 46}{space 3}0.000{col 54}{space 4}-.7087156{col 67}{space 3}-.5949516
{txt}{space 5}retired {c |}{col 14}{res}{space 2} .0468926{col 26}{space 2} .0490665{col 37}{space 1}    0.96{col 46}{space 3}0.339{col 54}{space 4}-.0492789{col 67}{space 3} .1430641
{txt}{space 1}notinlabmkt {c |}{col 14}{res}  (omitted)
{txt}{space 4}vghealth {c |}{col 14}{res}{space 2} 1.337481{col 26}{space 2} .0302164{col 37}{space 1}   44.26{col 46}{space 3}0.000{col 54}{space 4} 1.278256{col 67}{space 3} 1.396706
{txt}{space 5}ghealth {c |}{col 14}{res}{space 2} .9956796{col 26}{space 2} .0236133{col 37}{space 1}   42.17{col 46}{space 3}0.000{col 54}{space 4} .9493969{col 67}{space 3} 1.041962
{txt}{space 3}sathealth {c |}{col 14}{res}{space 2} .5738351{col 26}{space 2} .0237897{col 37}{space 1}   24.12{col 46}{space 3}0.000{col 54}{space 4} .5272067{col 67}{space 3} .6204635
{txt}{space 6}hseduc {c |}{col 14}{res}{space 2}   .03473{col 26}{space 2}   .01836{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4} -.001256{col 67}{space 3} .0707161
{txt}morethanhs~c {c |}{col 14}{res}{space 2} .0451537{col 26}{space 2} .0245099{col 37}{space 1}    1.84{col 46}{space 3}0.065{col 54}{space 4}-.0028864{col 67}{space 3} .0931937
{txt}{space 5}age2130 {c |}{col 14}{res}{space 2}-.0889315{col 26}{space 2} .0448239{col 37}{space 1}   -1.98{col 46}{space 3}0.047{col 54}{space 4}-.1767875{col 67}{space 3}-.0010756
{txt}{space 5}age3140 {c |}{col 14}{res}{space 2}-.1110076{col 26}{space 2} .0484737{col 37}{space 1}   -2.29{col 46}{space 3}0.022{col 54}{space 4}-.2060171{col 67}{space 3} -.015998
{txt}{space 5}age4150 {c |}{col 14}{res}{space 2}-.0870684{col 26}{space 2} .0498274{col 37}{space 1}   -1.75{col 46}{space 3}0.081{col 54}{space 4}-.1847313{col 67}{space 3} .0105945
{txt}{space 5}age5160 {c |}{col 14}{res}{space 2} .0996394{col 26}{space 2} .0506706{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0003239{col 67}{space 3}  .198955
{txt}{space 3}age61plus {c |}{col 14}{res}{space 2} .3322861{col 26}{space 2} .0629354{col 37}{space 1}    5.28{col 46}{space 3}0.000{col 54}{space 4} .2089312{col 67}{space 3} .4556409
{txt}{space 5}region1 {c |}{col 14}{res}  (omitted)
{txt}{space 5}region2 {c |}{col 14}{res}{space 2}-.0182955{col 26}{space 2} .0985502{col 37}{space 1}   -0.19{col 46}{space 3}0.853{col 54}{space 4}-.2114564{col 67}{space 3} .1748653
{txt}{space 5}region3 {c |}{col 14}{res}{space 2}-.1208105{col 26}{space 2} .1099121{col 37}{space 1}   -1.10{col 46}{space 3}0.272{col 54}{space 4}-.3362408{col 67}{space 3} .0946198
{txt}{space 5}region4 {c |}{col 14}{res}{space 2}-.1876181{col 26}{space 2}  .090703{col 37}{space 1}   -2.07{col 46}{space 3}0.039{col 54}{space 4}-.3653981{col 67}{space 3} -.009838
{txt}{space 5}region5 {c |}{col 14}{res}  (omitted)
{txt}{space 5}region6 {c |}{col 14}{res}{space 2}-.2117346{col 26}{space 2} .0889545{col 37}{space 1}   -2.38{col 46}{space 3}0.017{col 54}{space 4}-.3860876{col 67}{space 3}-.0373817
{txt}{space 5}region7 {c |}{col 14}{res}{space 2}-.1732508{col 26}{space 2} .0913203{col 37}{space 1}   -1.90{col 46}{space 3}0.058{col 54}{space 4}-.3522408{col 67}{space 3} .0057393
{txt}{space 5}region8 {c |}{col 14}{res}{space 2}-.1595164{col 26}{space 2}   .09243{col 37}{space 1}   -1.73{col 46}{space 3}0.084{col 54}{space 4}-.3406815{col 67}{space 3} .0216487
{txt}{space 5}region9 {c |}{col 14}{res}{space 2}-.2180082{col 26}{space 2} .0895959{col 37}{space 1}   -2.43{col 46}{space 3}0.015{col 54}{space 4}-.3936184{col 67}{space 3} -.042398
{txt}{space 4}region10 {c |}{col 14}{res}{space 2}-.1830946{col 26}{space 2} .0895526{col 37}{space 1}   -2.04{col 46}{space 3}0.041{col 54}{space 4}-.3586199{col 67}{space 3}-.0075693
{txt}{space 4}region11 {c |}{col 14}{res}  (omitted)
{txt}{space 4}region12 {c |}{col 14}{res}{space 2}-.3764465{col 26}{space 2} .0933185{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.5593531{col 67}{space 3}-.1935399
{txt}{space 4}region13 {c |}{col 14}{res}{space 2}-.4739881{col 26}{space 2} .0928369{col 37}{space 1}   -5.11{col 46}{space 3}0.000{col 54}{space 4}-.6559506{col 67}{space 3}-.2920256
{txt}{space 4}region14 {c |}{col 14}{res}{space 2}-.4004655{col 26}{space 2} .0948682{col 37}{space 1}   -4.22{col 46}{space 3}0.000{col 54}{space 4}-.5864096{col 67}{space 3}-.2145214
{txt}{space 4}region15 {c |}{col 14}{res}{space 2}-.4590141{col 26}{space 2}  .090664{col 37}{space 1}   -5.06{col 46}{space 3}0.000{col 54}{space 4}-.6367178{col 67}{space 3}-.2813104
{txt}{space 4}region16 {c |}{col 14}{res}{space 2}-.4876702{col 26}{space 2} .0921889{col 37}{space 1}   -5.29{col 46}{space 3}0.000{col 54}{space 4}-.6683626{col 67}{space 3}-.3069778
{txt}{space 4}region17 {c |}{col 14}{res}{space 2}-.5955358{col 26}{space 2} .0923404{col 37}{space 1}   -6.45{col 46}{space 3}0.000{col 54}{space 4}-.7765252{col 67}{space 3}-.4145463
{txt}{space 6}wave_1 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_2 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_3 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_4 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_5 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_6 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_7 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_8 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_9 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_10 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_11 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_12 {c |}{col 14}{res}{space 2} .0546612{col 26}{space 2} .0216129{col 37}{space 1}    2.53{col 46}{space 3}0.011{col 54}{space 4} .0122993{col 67}{space 3} .0970231
{txt}{space 5}wave_13 {c |}{col 14}{res}{space 2} .0712843{col 26}{space 2} .0215064{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} .0291313{col 67}{space 3} .1134374
{txt}{space 5}wave_14 {c |}{col 14}{res}{space 2} .0190874{col 26}{space 2} .0217091{col 37}{space 1}    0.88{col 46}{space 3}0.379{col 54}{space 4}-.0234628{col 67}{space 3} .0616377
{txt}{space 5}wave_15 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_16 {c |}{col 14}{res}{space 2} .0047059{col 26}{space 2} .0216805{col 37}{space 1}    0.22{col 46}{space 3}0.828{col 54}{space 4}-.0377885{col 67}{space 3} .0472003
{txt}{space 5}wave_17 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_18 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_19 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_20 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_21 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_22 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_23 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_24 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_25 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_26 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_27 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_28 {c |}{col 14}{res}  (omitted)
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 3.578218{col 26}{space 2} .1058903{col 37}{space 1}   33.79{col 46}{space 3}0.000{col 54}{space 4} 3.370671{col 67}{space 3} 3.785766
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. xtreg lifesat l.lifesat  optimistic2 quitepessimistic2 pessimistic2 lnrealincome married divorced separated widowed selfemp govemployed  apprentice unempstib retired notinlabmkt  vghealth ghealth sathealth hseduc morethanhs age2130 age3140 age4150 age5160 age61plus region* wave_*, fe
{txt}note: notinlabmkt omitted because of collinearity
note: region1 omitted because of collinearity
note: region11 omitted because of collinearity
note: region17 omitted because of collinearity
note: wave_1 omitted because of collinearity
note: wave_2 omitted because of collinearity
note: wave_3 omitted because of collinearity
note: wave_4 omitted because of collinearity
note: wave_5 omitted because of collinearity
note: wave_6 omitted because of collinearity
note: wave_7 omitted because of collinearity
note: wave_8 omitted because of collinearity
note: wave_10 omitted because of collinearity
note: wave_11 omitted because of collinearity
note: wave_15 omitted because of collinearity
note: wave_16 omitted because of collinearity
note: wave_17 omitted because of collinearity
note: wave_18 omitted because of collinearity
note: wave_19 omitted because of collinearity
note: wave_20 omitted because of collinearity
note: wave_21 omitted because of collinearity
note: wave_22 omitted because of collinearity
note: wave_23 omitted because of collinearity
note: wave_24 omitted because of collinearity
note: wave_25 omitted because of collinearity
note: wave_26 omitted because of collinearity
note: wave_27 omitted because of collinearity
note: wave_28 omitted because of collinearity

Fixed-effects (within) regression               Number of obs      = {res}    39412
{txt}Group variable: {res}pid                             {txt}Number of groups   = {res}    13044

{txt}R-sq:  within  = {res}0.0916                         {txt}Obs per group: min = {res}        1
{txt}       between = {res}0.3254                                        {txt}avg = {res}      3.0
{txt}       overall = {res}0.2619                                        {txt}max = {res}        5

                                                {txt}F({res}42{txt},{res}26326{txt})        = {res}    63.20
{txt}corr(u_i, Xb)  = {res}0.2388                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     lifesat{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lifesat {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0334162{col 26}{space 2} .0057881{col 37}{space 1}    5.77{col 46}{space 3}0.000{col 54}{space 4} .0220712{col 67}{space 3} .0447612
{txt}{space 12} {c |}
{space 1}optimistic2 {c |}{col 14}{res}{space 2} .2076369{col 26}{space 2}  .022808{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} .1629319{col 67}{space 3} .2523418
{txt}quitepessi~2 {c |}{col 14}{res}{space 2}-.3574374{col 26}{space 2} .0188244{col 37}{space 1}  -18.99{col 46}{space 3}0.000{col 54}{space 4}-.3943342{col 67}{space 3}-.3205406
{txt}pessimistic2 {c |}{col 14}{res}{space 2}-.7385988{col 26}{space 2} .0382204{col 37}{space 1}  -19.32{col 46}{space 3}0.000{col 54}{space 4}-.8135129{col 67}{space 3}-.6636847
{txt}lnrealincome {c |}{col 14}{res}{space 2} .1068713{col 26}{space 2}  .014254{col 37}{space 1}    7.50{col 46}{space 3}0.000{col 54}{space 4} .0789327{col 67}{space 3} .1348099
{txt}{space 5}married {c |}{col 14}{res}{space 2} .0706991{col 26}{space 2} .0527471{col 37}{space 1}    1.34{col 46}{space 3}0.180{col 54}{space 4}-.0326881{col 67}{space 3} .1740863
{txt}{space 4}divorced {c |}{col 14}{res}{space 2}-.0540329{col 26}{space 2} .0761386{col 37}{space 1}   -0.71{col 46}{space 3}0.478{col 54}{space 4}-.2032688{col 67}{space 3} .0952029
{txt}{space 3}separated {c |}{col 14}{res}{space 2}-.2903393{col 26}{space 2} .0836283{col 37}{space 1}   -3.47{col 46}{space 3}0.001{col 54}{space 4}-.4542553{col 67}{space 3}-.1264233
{txt}{space 5}widowed {c |}{col 14}{res}{space 2}-.1308559{col 26}{space 2} .1425794{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.4103193{col 67}{space 3} .1486075
{txt}{space 5}selfemp {c |}{col 14}{res}{space 2}-.0870719{col 26}{space 2} .0530786{col 37}{space 1}   -1.64{col 46}{space 3}0.101{col 54}{space 4}-.1911089{col 67}{space 3}  .016965
{txt}{space 1}govemployed {c |}{col 14}{res}{space 2}-.0457135{col 26}{space 2} .0860209{col 37}{space 1}   -0.53{col 46}{space 3}0.595{col 54}{space 4}-.2143192{col 67}{space 3} .1228921
{txt}{space 2}apprentice {c |}{col 14}{res}{space 2} .0685792{col 26}{space 2}  .059954{col 37}{space 1}    1.14{col 46}{space 3}0.253{col 54}{space 4}-.0489339{col 67}{space 3} .1860923
{txt}{space 3}unempstib {c |}{col 14}{res}{space 2}-.6990525{col 26}{space 2} .0354428{col 37}{space 1}  -19.72{col 46}{space 3}0.000{col 54}{space 4}-.7685222{col 67}{space 3}-.6295828
{txt}{space 5}retired {c |}{col 14}{res}{space 2} .0648283{col 26}{space 2} .0711436{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.0746171{col 67}{space 3} .2042736
{txt}{space 1}notinlabmkt {c |}{col 14}{res}  (omitted)
{txt}{space 4}vghealth {c |}{col 14}{res}{space 2} 1.099591{col 26}{space 2} .0407698{col 37}{space 1}   26.97{col 46}{space 3}0.000{col 54}{space 4}  1.01968{col 67}{space 3} 1.179502
{txt}{space 5}ghealth {c |}{col 14}{res}{space 2} .8719178{col 26}{space 2} .0316675{col 37}{space 1}   27.53{col 46}{space 3}0.000{col 54}{space 4} .8098478{col 67}{space 3} .9339878
{txt}{space 3}sathealth {c |}{col 14}{res}{space 2} .5454139{col 26}{space 2} .0292267{col 37}{space 1}   18.66{col 46}{space 3}0.000{col 54}{space 4} .4881279{col 67}{space 3} .6026999
{txt}{space 6}hseduc {c |}{col 14}{res}{space 2}  .029336{col 26}{space 2} .0841035{col 37}{space 1}    0.35{col 46}{space 3}0.727{col 54}{space 4}-.1355114{col 67}{space 3} .1941833
{txt}morethanhs~c {c |}{col 14}{res}{space 2}-.0114288{col 26}{space 2} .1136477{col 37}{space 1}   -0.10{col 46}{space 3}0.920{col 54}{space 4}-.2341845{col 67}{space 3} .2113269
{txt}{space 5}age2130 {c |}{col 14}{res}{space 2}-.1066298{col 26}{space 2} .0654375{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.2348909{col 67}{space 3} .0216313
{txt}{space 5}age3140 {c |}{col 14}{res}{space 2}-.0933162{col 26}{space 2} .0774085{col 37}{space 1}   -1.21{col 46}{space 3}0.228{col 54}{space 4}-.2450412{col 67}{space 3} .0584087
{txt}{space 5}age4150 {c |}{col 14}{res}{space 2}-.1725341{col 26}{space 2} .0901801{col 37}{space 1}   -1.91{col 46}{space 3}0.056{col 54}{space 4} -.349292{col 67}{space 3} .0042237
{txt}{space 5}age5160 {c |}{col 14}{res}{space 2}-.1599245{col 26}{space 2} .1062222{col 37}{space 1}   -1.51{col 46}{space 3}0.132{col 54}{space 4}-.3681258{col 67}{space 3} .0482767
{txt}{space 3}age61plus {c |}{col 14}{res}{space 2} .0562937{col 26}{space 2} .1320294{col 37}{space 1}    0.43{col 46}{space 3}0.670{col 54}{space 4}-.2024911{col 67}{space 3} .3150785
{txt}{space 5}region1 {c |}{col 14}{res}  (omitted)
{txt}{space 5}region2 {c |}{col 14}{res}{space 2} .3772646{col 26}{space 2} .3406281{col 37}{space 1}    1.11{col 46}{space 3}0.268{col 54}{space 4}-.2903849{col 67}{space 3} 1.044914
{txt}{space 5}region3 {c |}{col 14}{res}{space 2} .6116417{col 26}{space 2} .3780326{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.1293226{col 67}{space 3} 1.352606
{txt}{space 5}region4 {c |}{col 14}{res}{space 2} .0093924{col 26}{space 2} .3003582{col 37}{space 1}    0.03{col 46}{space 3}0.975{col 54}{space 4} -.579326{col 67}{space 3} .5981108
{txt}{space 5}region5 {c |}{col 14}{res}{space 2} .5126341{col 26}{space 2} .6188502{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.7003458{col 67}{space 3} 1.725614
{txt}{space 5}region6 {c |}{col 14}{res}{space 2} .1292866{col 26}{space 2} .2889793{col 37}{space 1}    0.45{col 46}{space 3}0.655{col 54}{space 4}-.4371285{col 67}{space 3} .6957018
{txt}{space 5}region7 {c |}{col 14}{res}{space 2} .0358773{col 26}{space 2} .2867775{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.5262221{col 67}{space 3} .5979767
{txt}{space 5}region8 {c |}{col 14}{res}{space 2} .2952775{col 26}{space 2} .3217806{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.3354298{col 67}{space 3} .9259848
{txt}{space 5}region9 {c |}{col 14}{res}{space 2} .1171842{col 26}{space 2} .2902809{col 37}{space 1}    0.40{col 46}{space 3}0.686{col 54}{space 4}-.4517821{col 67}{space 3} .6861506
{txt}{space 4}region10 {c |}{col 14}{res}{space 2}  .035327{col 26}{space 2} .2732173{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4}-.5001936{col 67}{space 3} .5708477
{txt}{space 4}region11 {c |}{col 14}{res}  (omitted)
{txt}{space 4}region12 {c |}{col 14}{res}{space 2}-.1246932{col 26}{space 2}  .308462{col 37}{space 1}   -0.40{col 46}{space 3}0.686{col 54}{space 4}-.7292953{col 67}{space 3} .4799089
{txt}{space 4}region13 {c |}{col 14}{res}{space 2}-.0964967{col 26}{space 2} .3102653{col 37}{space 1}   -0.31{col 46}{space 3}0.756{col 54}{space 4}-.7046333{col 67}{space 3}   .51164
{txt}{space 4}region14 {c |}{col 14}{res}{space 2}-.4733335{col 26}{space 2} .3474781{col 37}{space 1}   -1.36{col 46}{space 3}0.173{col 54}{space 4}-1.154409{col 67}{space 3} .2077424
{txt}{space 4}region15 {c |}{col 14}{res}{space 2}-.2050207{col 26}{space 2} .2935318{col 37}{space 1}   -0.70{col 46}{space 3}0.485{col 54}{space 4}-.7803589{col 67}{space 3} .3703175
{txt}{space 4}region16 {c |}{col 14}{res}{space 2}-.5781355{col 26}{space 2} .2924334{col 37}{space 1}   -1.98{col 46}{space 3}0.048{col 54}{space 4}-1.151321{col 67}{space 3}-.0049503
{txt}{space 4}region17 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_1 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_2 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_3 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_4 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_5 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_6 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_7 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_8 {c |}{col 14}{res}  (omitted)
{txt}{space 6}wave_9 {c |}{col 14}{res}{space 2} .0259451{col 26}{space 2} .0288869{col 37}{space 1}    0.90{col 46}{space 3}0.369{col 54}{space 4}-.0306748{col 67}{space 3} .0825651
{txt}{space 5}wave_10 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_11 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_12 {c |}{col 14}{res}{space 2}  .052699{col 26}{space 2} .0229258{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .0077632{col 67}{space 3} .0976348
{txt}{space 5}wave_13 {c |}{col 14}{res}{space 2}  .067353{col 26}{space 2} .0215651{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .0250841{col 67}{space 3} .1096218
{txt}{space 5}wave_14 {c |}{col 14}{res}{space 2}-.0033263{col 26}{space 2} .0212078{col 37}{space 1}   -0.16{col 46}{space 3}0.875{col 54}{space 4}-.0448947{col 67}{space 3} .0382421
{txt}{space 5}wave_15 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_16 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_17 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_18 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_19 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_20 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_21 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_22 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_23 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_24 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_25 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_26 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_27 {c |}{col 14}{res}  (omitted)
{txt}{space 5}wave_28 {c |}{col 14}{res}  (omitted)
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 5.874249{col 26}{space 2} .2636526{col 37}{space 1}   22.28{col 46}{space 3}0.000{col 54}{space 4} 5.357476{col 67}{space 3} 6.391023
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     sigma_u {c |} {res} 1.2599207
{txt}     sigma_e {c |} {res} 1.1464385
{txt}         rho {c |} {res} .54705463{txt}   (fraction of variance due to u_i)
{hline 13}{c BT}{hline 64}
F test that all u_i=0:     F({res}13043{txt}, {res}26326{txt}) = {res}    1.89        {txt}Prob > F = {res}0.0000
{txt}
{com}. xtabond2 lifesat l.lifesat  optimistic2 quitepessimistic2 pessimistic2 lnrealincome married divorced separated widowed selfemp govemployed  apprentice unempstib retired notinlabmkt  vghealth ghealth sathealth hseduc morethanhs age2130 age3140 age4150 age5160 age61plus region* wave_*,  gmm(l.lifesat, laglimits(1 .)) iv(optimistic2 quitepessimistic2 pessimistic2 lnrealincome married divorced separated widowed selfemp govemployed  apprentice unempstib retired notinlabmkt  vghealth ghealth sathealth hseduc morethanhs age2130 age3140 age4150 age5160 age61plus region* wave_*) twostep robust
{res}{txt}Favoring space over speed. To switch, type or click on {stata "mata: mata set matafavor speed, perm"}.
{txt}notinlabmkt dropped due to collinearity
{txt}region1 dropped due to collinearity
{txt}region11 dropped due to collinearity
{txt}region17 dropped due to collinearity
{txt}wave_1 dropped due to collinearity
{txt}wave_2 dropped due to collinearity
{txt}wave_3 dropped due to collinearity
{txt}wave_4 dropped due to collinearity
{txt}wave_5 dropped due to collinearity
{txt}wave_6 dropped due to collinearity
{txt}wave_7 dropped due to collinearity
{txt}wave_8 dropped due to collinearity
{txt}wave_10 dropped due to collinearity
{txt}wave_11 dropped due to collinearity
{txt}wave_15 dropped due to collinearity
{txt}wave_16 dropped due to collinearity
{txt}wave_17 dropped due to collinearity
{txt}wave_18 dropped due to collinearity
{txt}wave_19 dropped due to collinearity
{txt}wave_20 dropped due to collinearity
{txt}wave_21 dropped due to collinearity
{txt}wave_22 dropped due to collinearity
{txt}wave_23 dropped due to collinearity
{txt}wave_24 dropped due to collinearity
{txt}wave_25 dropped due to collinearity
{txt}wave_26 dropped due to collinearity
{txt}wave_27 dropped due to collinearity
{txt}wave_28 dropped due to collinearity
{res}Warning: Two-step estimated covariance matrix of moments is singular.
{res}  Using a generalized inverse to calculate optimal weighting matrix for two-step estimation.
{res}  Difference-in-Sargan/Hansen statistics may be negative.

{txt}Dynamic panel-data estimation, two-step system GMM
{hline 78}
Group variable: {res}pid{txt}{col 49}Number of obs      = {res}    39412
{txt}Time variable : {res}syear{txt}{col 49}Number of groups   = {res}    13044
{txt}Number of instruments = {res}55{col 49}{txt}Obs per group: min = {res}        1
{txt}Wald chi2({res}42{txt}){col 15}= {res}  7451.76{col 64}{txt}avg = {res}     3.02
{txt}Prob > chi2{col 15}={res}     0.000{col 64}{txt}max = {res}        5
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}   Corrected
{col 1}     lifesat{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}lifesat {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0925942{col 26}{space 2} .0119634{col 37}{space 1}    7.74{col 46}{space 3}0.000{col 54}{space 4} .0691464{col 67}{space 3}  .116042
{txt}{space 12} {c |}
{space 1}optimistic2 {c |}{col 14}{res}{space 2} .3310456{col 26}{space 2} .0221779{col 37}{space 1}   14.93{col 46}{space 3}0.000{col 54}{space 4} .2875777{col 67}{space 3} .3745136
{txt}quitepessi~2 {c |}{col 14}{res}{space 2}-.4799754{col 26}{space 2} .0187801{col 37}{space 1}  -25.56{col 46}{space 3}0.000{col 54}{space 4}-.5167838{col 67}{space 3}-.4431671
{txt}pessimistic2 {c |}{col 14}{res}{space 2} -1.00247{col 26}{space 2} .0505053{col 37}{space 1}  -19.85{col 46}{space 3}0.000{col 54}{space 4}-1.101459{col 67}{space 3}-.9034815
{txt}lnrealincome {c |}{col 14}{res}{space 2}  .066244{col 26}{space 2} .0107161{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} .0452409{col 67}{space 3}  .087247
{txt}{space 5}married {c |}{col 14}{res}{space 2} .1850219{col 26}{space 2}  .027336{col 37}{space 1}    6.77{col 46}{space 3}0.000{col 54}{space 4} .1314442{col 67}{space 3} .2385995
{txt}{space 4}divorced {c |}{col 14}{res}{space 2}-.0668518{col 26}{space 2} .0473802{col 37}{space 1}   -1.41{col 46}{space 3}0.158{col 54}{space 4}-.1597153{col 67}{space 3} .0260116
{txt}{space 3}separated {c |}{col 14}{res}{space 2}-.3294855{col 26}{space 2} .0774982{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4}-.4813792{col 67}{space 3}-.1775918
{txt}{space 5}widowed {c |}{col 14}{res}{space 2} .1802467{col 26}{space 2}  .076203{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0308916{col 67}{space 3} .3296018
{txt}{space 5}selfemp {c |}{col 14}{res}{space 2}-.1627664{col 26}{space 2} .0366507{col 37}{space 1}   -4.44{col 46}{space 3}0.000{col 54}{space 4}-.2346004{col 67}{space 3}-.0909324
{txt}{space 1}govemployed {c |}{col 14}{res}{space 2} .1541224{col 26}{space 2}  .042577{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4}  .070673{col 67}{space 3} .2375717
{txt}{space 2}apprentice {c |}{col 14}{res}{space 2} .0647831{col 26}{space 2} .0497652{col 37}{space 1}    1.30{col 46}{space 3}0.193{col 54}{space 4}-.0327549{col 67}{space 3} .1623212
{txt}{space 3}unempstib {c |}{col 14}{res}{space 2}-.7471289{col 26}{space 2} .0428105{col 37}{space 1}  -17.45{col 46}{space 3}0.000{col 54}{space 4}-.8310359{col 67}{space 3}-.6632218
{txt}{space 5}retired {c |}{col 14}{res}{space 2} .0652199{col 26}{space 2}   .05705{col 37}{space 1}    1.14{col 46}{space 3}0.253{col 54}{space 4}-.0465959{col 67}{space 3} .1770358
{txt}{space 4}vghealth {c |}{col 14}{res}{space 2} 1.610337{col 26}{space 2}  .042663{col 37}{space 1}   37.75{col 46}{space 3}0.000{col 54}{space 4} 1.526719{col 67}{space 3} 1.693955
{txt}{space 5}ghealth {c |}{col 14}{res}{space 2} 1.195499{col 26}{space 2} .0350056{col 37}{space 1}   34.15{col 46}{space 3}0.000{col 54}{space 4}  1.12689{col 67}{space 3} 1.264109
{txt}{space 3}sathealth {c |}{col 14}{res}{space 2} .6787068{col 26}{space 2} .0334932{col 37}{space 1}   20.26{col 46}{space 3}0.000{col 54}{space 4} .6130613{col 67}{space 3} .7443524
{txt}{space 6}hseduc {c |}{col 14}{res}{space 2} .0523774{col 26}{space 2} .0271884{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0009109{col 67}{space 3} .1056657
{txt}morethanhs~c {c |}{col 14}{res}{space 2} .0622019{col 26}{space 2} .0349522{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0063031{col 67}{space 3} .1307069
{txt}{space 5}age2130 {c |}{col 14}{res}{space 2}-.1877309{col 26}{space 2} .0519743{col 37}{space 1}   -3.61{col 46}{space 3}0.000{col 54}{space 4}-.2895986{col 67}{space 3}-.0858631
{txt}{space 5}age3140 {c |}{col 14}{res}{space 2}-.2773516{col 26}{space 2} .0578474{col 37}{space 1}   -4.79{col 46}{space 3}0.000{col 54}{space 4}-.3907304{col 67}{space 3}-.1639729
{txt}{space 5}age4150 {c |}{col 14}{res}{space 2}-.2657941{col 26}{space 2} .0602009{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.3837857{col 67}{space 3}-.1478026
{txt}{space 5}age5160 {c |}{col 14}{res}{space 2}-.0464331{col 26}{space 2} .0616333{col 37}{space 1}   -0.75{col 46}{space 3}0.451{col 54}{space 4}-.1672322{col 67}{space 3} .0743661
{txt}{space 3}age61plus {c |}{col 14}{res}{space 2} .2927036{col 26}{space 2} .0770449{col 37}{space 1}    3.80{col 46}{space 3}0.000{col 54}{space 4} .1416984{col 67}{space 3} .4437088
{txt}{space 5}region2 {c |}{col 14}{res}{space 2}  .855507{col 26}{space 2} .0725629{col 37}{space 1}   11.79{col 46}{space 3}0.000{col 54}{space 4} .7132863{col 67}{space 3} .9977276
{txt}{space 5}region3 {c |}{col 14}{res}{space 2}   .67531{col 26}{space 2} .0932684{col 37}{space 1}    7.24{col 46}{space 3}0.000{col 54}{space 4} .4925073{col 67}{space 3} .8581126
{txt}{space 5}region4 {c |}{col 14}{res}{space 2} .6329666{col 26}{space 2} .0553132{col 37}{space 1}   11.44{col 46}{space 3}0.000{col 54}{space 4} .5245547{col 67}{space 3} .7413785
{txt}{space 5}region5 {c |}{col 14}{res}{space 2} .8441499{col 26}{space 2} .1511502{col 37}{space 1}    5.58{col 46}{space 3}0.000{col 54}{space 4}  .547901{col 67}{space 3} 1.140399
{txt}{space 5}region6 {c |}{col 14}{res}{space 2} .6192574{col 26}{space 2} .0489676{col 37}{space 1}   12.65{col 46}{space 3}0.000{col 54}{space 4} .5232827{col 67}{space 3} .7152321
{txt}{space 5}region7 {c |}{col 14}{res}{space 2} .6798317{col 26}{space 2}  .057642{col 37}{space 1}   11.79{col 46}{space 3}0.000{col 54}{space 4} .5668555{col 67}{space 3} .7928078
{txt}{space 5}region8 {c |}{col 14}{res}{space 2} .6968825{col 26}{space 2} .0618134{col 37}{space 1}   11.27{col 46}{space 3}0.000{col 54}{space 4} .5757303{col 67}{space 3} .8180346
{txt}{space 5}region9 {c |}{col 14}{res}{space 2} .5934602{col 26}{space 2} .0516362{col 37}{space 1}   11.49{col 46}{space 3}0.000{col 54}{space 4} .4922551{col 67}{space 3} .6946653
{txt}{space 4}region10 {c |}{col 14}{res}{space 2} .6391503{col 26}{space 2} .0517801{col 37}{space 1}   12.34{col 46}{space 3}0.000{col 54}{space 4} .5376633{col 67}{space 3} .7406373
{txt}{space 4}region12 {c |}{col 14}{res}{space 2} .2615869{col 26}{space 2} .0676243{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .1290458{col 67}{space 3} .3941281
{txt}{space 4}region13 {c |}{col 14}{res}{space 2}  .130411{col 26}{space 2} .0601148{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .0125882{col 67}{space 3} .2482338
{txt}{space 4}region14 {c |}{col 14}{res}{space 2} .2122039{col 26}{space 2} .0655285{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .0837703{col 67}{space 3} .3406375
{txt}{space 4}region15 {c |}{col 14}{res}{space 2} .1330695{col 26}{space 2} .0527807{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0296213{col 67}{space 3} .2365177
{txt}{space 4}region16 {c |}{col 14}{res}{space 2} .1095313{col 26}{space 2} .0590767{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0062568{col 67}{space 3} .2253195
{txt}{space 6}wave_9 {c |}{col 14}{res}{space 2}-.0330563{col 26}{space 2} .0219927{col 37}{space 1}   -1.50{col 46}{space 3}0.133{col 54}{space 4}-.0761613{col 67}{space 3} .0100487
{txt}{space 5}wave_12 {c |}{col 14}{res}{space 2}  .031948{col 26}{space 2} .0196225{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.0065114{col 67}{space 3} .0704074
{txt}{space 5}wave_13 {c |}{col 14}{res}{space 2} .0546927{col 26}{space 2} .0194732{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .0165259{col 67}{space 3} .0928595
{txt}{space 5}wave_14 {c |}{col 14}{res}{space 2}  .021057{col 26}{space 2} .0198023{col 37}{space 1}    1.06{col 46}{space 3}0.288{col 54}{space 4}-.0177547{col 67}{space 3} .0598688
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 4.848939{col 26}{space 2} .1036534{col 37}{space 1}   46.78{col 46}{space 3}0.000{col 54}{space 4} 4.645782{col 67}{space 3} 5.052096
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Instruments for first differences equation
{col 3}Standard
{col 5}D.(optimistic2 quitepessimistic2 pessimistic2 lnrealincome married
{col 5}divorced separated widowed selfemp govemployed apprentice unempstib
{col 5}retired notinlabmkt vghealth ghealth sathealth hseduc morethanhseduc
{col 5}age2130 age3140 age4150 age5160 age61plus region1 region2 region3 region4
{col 5}region5 region6 region7 region8 region9 region10 region11 region12
{col 5}region13 region14 region15 region16 region17 wave_1 wave_2 wave_3 wave_4
{col 5}wave_5 wave_6 wave_7 wave_8 wave_9 wave_10 wave_11 wave_12 wave_13 wave_14
{col 5}wave_15 wave_16 wave_17 wave_18 wave_19 wave_20 wave_21 wave_22 wave_23
{col 5}wave_24 wave_25 wave_26 wave_27 wave_28)
{col 3}GMM-type (missing=0, separate instruments for each period unless collapsed)
{col 5}L(1/8).L.lifesat
Instruments for levels equation
{col 3}Standard
{col 5}optimistic2 quitepessimistic2 pessimistic2 lnrealincome married divorced
{col 5}separated widowed selfemp govemployed apprentice unempstib retired
{col 5}notinlabmkt vghealth ghealth sathealth hseduc morethanhseduc age2130
{col 5}age3140 age4150 age5160 age61plus region1 region2 region3 region4 region5
{col 5}region6 region7 region8 region9 region10 region11 region12 region13
{col 5}region14 region15 region16 region17 wave_1 wave_2 wave_3 wave_4 wave_5
{col 5}wave_6 wave_7 wave_8 wave_9 wave_10 wave_11 wave_12 wave_13 wave_14
{col 5}wave_15 wave_16 wave_17 wave_18 wave_19 wave_20 wave_21 wave_22 wave_23
{col 5}wave_24 wave_25 wave_26 wave_27 wave_28
{col 5}_cons
{col 3}GMM-type (missing=0, separate instruments for each period unless collapsed)
{col 5}D.L.lifesat
{hline 78}
Arellano-Bond test for AR(1) in first differences:{col 52}z = {res}-23.01{txt}  Pr > z = {res} 0.000
{txt}Arellano-Bond test for AR(2) in first differences:{col 52}z = {res}     .{txt}  Pr > z = {res}     .
{txt}{hline 78}
Sargan test of overid. restrictions: chi2({res}12{txt}){col 49}={res}  11.05{txt}{col 59}Prob > chi2 = {res} 0.524
{txt}  (Not robust, but not weakened by many instruments.)
Hansen test of overid. restrictions: chi2({res}12{txt}){col 49}={res}   9.15{txt}{col 59}Prob > chi2 = {res} 0.690
{txt}  (Robust, but weakened by many instruments.)

Difference-in-Hansen tests of exogeneity of instrument subsets:
  GMM instruments for levels
    Hansen test excluding group:{col 38}chi2({res}8{txt}){col 49}={res}   6.82{txt}{col 59}Prob > chi2 = {res} 0.556
{txt}    Difference (null H = exogenous):{col 38}chi2({res}4{txt}){col 49}={res}   2.34{txt}{col 59}Prob > chi2 = {res} 0.674

{txt}
{com}. 
{txt}end of do-file

{com}. og close
{err}unrecognized command:  og
{txt}{search r(199):r(199);}

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Alan\Documents\comment paper table 1 soep.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}10 Dec 2014, 22:07:23
{txt}{.-}
{smcl}
{txt}{sf}{ul off}